Flexibility and uncertainty in power systems:Insights from Electric Vehicle Charging
電力システムにおける柔軟性と不確実性：電気自動車充電からの洞察 (AI 翻訳)
Linda; id_orcid 0000-0002-1106-0768 Punt
🤖 gxceed AI 要約
日本語
本研究は、電気自動車（EV）のスマート充電による需要側柔軟性を在庫管理の視点からモデル化し、不確実性下での運用可能性を検討する。現実性と扱いやすさのバランスを図り、柔軟性が需給調整や市場リスク回避にどのように機能するかを明らかにする。再生可能エネルギーの普及に伴う系統安定性課題への示唆を提供する。
English
This dissertation models demand-side flexibility from EV smart charging through inventory management, balancing realism and tractability to understand how flexibility operates under uncertainty. It examines conditions for operationalizing flexibility to balance supply and demand or hedge against market risks. Insights are critical for integrating variable renewables and electrification.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では再生可能エネルギー拡大と災害対応のため、系統の柔軟性が急務である。本論文はEV充電の調整力を活用した需給バランス手法を提供し、日本でも今後のEV普及や電力市場改革に応用可能な知見を含む。
In the global GX context
Globally, with rising renewable penetration and electrification, grid flexibility is paramount. This paper offers a rigorous framework for quantifying and deploying EV smart charging flexibility under uncertainty, directly informing grid operators, aggregators, and policymakers designing demand response programs and market mechanisms.
👥 読者別の含意
🔬研究者:Provides a novel inventory-management lens for modeling EV flexibility under uncertainty, opening avenues for stochastic optimization and grid integration studies.
🏢実務担当者:Offers insights into conditions for effective smart charging deployment, useful for aggregators and utilities designing charging schedules and hedging strategies.
🏛政策担当者:Highlights the need for supportive regulations and market designs to unlock EV flexibility for grid reliability and renewable integration.
📄 Abstract（原文）
The increasing share of renewable generation, rapid electrification of energy services, and growing adoption of distributed energy resources make the energy system more dynamic and uncertain, fundamentally complicating the continuous balancing of supply and demand required to maintain stability and reliability. As the energy transition advances, the variability and uncertainty in both supply and demand have reached levels such that conventional solutions, such as grid reinforcement, are no longer sufficient to prevent congestion. Consequently, there is a growing focus on demand-side flexibility as a complementary means of addressing these challenges.<br/>Among the various sources of demand-side flexibility, electric vehicles (EVs) have emerged as a particularly promising option. Their flexibility arises because EVs are typically parked for much longer periods than required for charging, enabling operators to shift charging over time through smart charging. While EVs are widely recognized for their potential to provide flexibility, much less is understood about the conditions under which this potential can be effectively operationalized in the presence of uncertainty. Developing this understanding is crucial, as operators and aggregators must decide how, when, and where to deploy flexible resources to balance supply and demand or hedge against market price risks. <br/>This dissertation examines different approaches to modeling demand-side flexibility, specifically in the form of smart charging, through the lens of inventory management. It aims to strike a balance between realism and tractability, enabling a more precise understanding of how flexibility operates under uncertainty.<br/>
🔗 Provenance — このレコードを発見したソース
- openalex https://pure.eur.nl/en/publications/0eff6136-f6a4-4879-bca0-fb9c49e7ecddfirst seen 2026-05-15 16:38:23
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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。